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XXVIII INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE
NEUROINFORMATICS-2026
October 19–23, 2026 · MIPT, Dolgoprudny

To participate in the conference, you must first register and then, if required, pay the registration fee.
Full Conference Program

19 October 2026 (Monday)

Neuroinformatics-2026 · Detailed Program · Draft Program

Date and Time
Main Track
Additional Track
19 October (Monday)09:30 – 10:30
Main TrackMain Building, 1st Floor
Registration
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Coffee Break
19 October (Monday)10:30 – 11:30
Main TrackMain Building, Concert Hall
School-Seminar Lecture 1: The History of Neuroinformatics in the USSR and Russia.
Vitaly Lvovich Dunin-Barkowski, Doctor of Physical and Mathematical Sciences, Professor, Head of the Department of Neuroinformatics; Irina Arkadyevna Smirnitskaya, Candidate of Physical and Mathematical Sciences, Senior Researcher, Dynamic Neural Networks Unit. Center for Optical and Neural Technologies, NRC “Kurchatov Institute” — Scientific Research Institute for System Analysis
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Exhibition
19 October (Monday)11:30 – 12:30
Main TrackMain Building, Concert Hall
School-Seminar Lecture 2: The Quirks of Evolution: From Pithecanthropus to Einstein and Back — to AI.
Sergey Borisovich Parin, Doctor of Biological Sciences, Professor, Department of Psychophysiology, Leading Researcher, Laboratory of Digital Psychophysiology;
Sofya Alexandrovna Polevaya, Doctor of Biological Sciences, Head of the Department of Psychophysiology, Chief Researcher at the Laboratories of Digital Psychophysiology and “AI in Preventive Medicine”.
Lobachevsky State University of Nizhny Novgorod
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Exhibition
19 October (Monday)12:30 – 13:00
Main TrackMain Building, Concert Hall
Tutorial: Using ResearcherOS to Automate Scientific Research,
Zoya Alexandrovna Volovikova, Candidate of Technical Sciences, Researcher, Cognitive AI Systems Laboratory, AIRI; staff member, Moscow Institute of Physics and Technology
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Exhibition
19 October (Monday)13:00 – 13:30
Main TrackMain Building, Concert Hall
Tutorial: Developing and Applying the AliceAI-Foundation Neural Network Model,
Anton Andryushchenko (to be confirmed)
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Exhibition
19 October (Monday)13:30 – 14:00
Main Track
Break
19 October (Monday)14:00 – 14:05
Main Track
Opening Ceremony:
Dmitry Viktorovich Livanov, Doctor of Physical and Mathematical Sciences, Professor, Rector of Moscow Institute of Physics and Technology; Boris Vladimirovich Kryzhanovsky, Doctor of Physical and Mathematical Sciences, Corresponding Member of the Russian Academy of Sciences, Head of the Center for Optical and Neural Technologies, NRC “Kurchatov Institute” — Scientific Research Institute for System Analysis, Conference Chair; Ivan Valeryevich Oseledets, Doctor of Physical and Mathematical Sciences, Professor of the Russian Academy of Sciences, CEO of AIRI, Dean of the Faculty of Artificial Intelligence, Lomonosov Moscow State University, Conference Program Committee Chair
19 October (Monday)14:05 – 15:05
Main TrackMain Building, Concert Hall
Plenary Session 1 —
Ivan Valeryevich Oseledets, Doctor of Physical and Mathematical Sciences, Professor of the Russian Academy of Sciences; CEO of AIRI, Dean of the Faculty of Artificial Intelligence, Lomonosov Moscow State University
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Exhibition
19 October (Monday)15:05 – 16:05
Main TrackMain Building, Concert Hall
Plenary Session 2 —
Yury Valentinovich Vizilter, Doctor of Physical and Mathematical Sciences, Professor of the Russian Academy of Sciences; Scientific Director of the MIPT Institute of Artificial Intelligence; Director for AI at GosNIIAS
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Exhibition
19 October (Monday)16:30 – 17:30
Main TrackMain Building, Concert Hall
Plenary Session 3 — Speaker and Topic to Be Confirmed
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Exhibition
19 October (Monday)17:30 – 19:00
Main TrackMain Building, Concert Hall
Round Table 1: The Neurozoic: What Is to Be Done?
(Speakers to be confirmed; moderator: Vitaly Lvovich Dunin-Barkowski, Doctor of Physical and Mathematical Sciences, Professor, Head of the Department of Neuroinformatics, Center for Optical and Neural Technologies, NRC “Kurchatov Institute” — Scientific Research Institute for System Analysis)
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Exhibition

20 October 2026 (Tuesday)

Neuroinformatics-2026 · Detailed Program · Draft Program
Talks are listed in the order of the source program; individual presentation times are not specified.

Date and Time
Main Track
Additional Track
20 October (Tuesday)09:30 – 10:00
Main TrackMain Building, 1st Floor
Registration
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Coffee Break
20 October (Tuesday)10:00 – 11:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 4:
Gonzalo Ferrer, PhD; Associate Professor, Head of the Mobile Robotics Laboratory at Skoltech
20 October (Tuesday)11:00 – 12:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 5:
Yixin Zhu, PhD; Associate Professor, School of Psychological and Cognitive Sciences and Institute for Artificial Intelligence, Peking University; Head of CoRe Lab (online)
20 October (Tuesday)12:00 – 13:00
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 1. Applied Neural Network Systems I

FreDAM: Frequency-Domain Adaptive Mamba for Uncertainty-Aware Bearing Prognostics in Industrial Rotating Machinery

*GUO C.¹, POTEKHIN V.V.¹
¹ - School of Cyber-Physical Systems, Peter the Great St. Petersburg Polytechnic University, 195251, Saint-Petersburg, Russia

Learning Dynamic Neural Potential Fields from Sequential Map Inputs for Safe Human-Centered Navigation

*KASYMOVA A.¹, LAPIN B.², STAROVEROV A.³˒⁴˒¹, PANOV A.³˒¹
¹ - Moscow Institute of Physics and Technology
² - Sber Robotics Center
³ - Artificial Intelligence Research Institute
⁴ - National University of Science and Technology MISIS

Medi-Det: Medical Adaptive Detection Transformer for Chest Lesion Detection

GUO X.¹, MALYKHINA G.F.
Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

CT-Explain: Explaining Continuous-Time Dynamic Graph Neural Networks with Conformal Safety Certification for Human–AI Collaboration

*ANAEDEVHA R.N., TROFIMOV A.G.
Institute of Cyber Intelligent Systems, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia
20 October (Tuesday)13:00 – 14:00
Main Track
Break
20 October (Tuesday)14:00 – 16:00
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 2. Neural Networks in Mathematical Modeling and Control

Nonlinear Modeling of UAV Dynamics Using LSTM Network with Incomplete Source Data

STEPANOVA E.Y., TIUMENTSEV Y.V.
Moscow Aviation Institute (National Research University), Moscow, Russia

Neural Network Approximation of Aircraft Aerodynamic Characteristics

STEPANOVA E.Y., TIUMENTSEV Y.V.
Moscow Aviation Institute (National Research University), Russia

Change Point Detection with Generative Models

*RAMAZYAN T., DERKACH D., HUSHCHYN M.
HSE University, Moscow, Russia

Physics-Informed and Physics-Based Neural Architectures for Data-Driven Modelling of Ammonium Nitrification

*LAZOVSKAYA T., SHATROV A., TARASOV V., TARKHOV D.
Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

Two-Stage Training of Compact Physics-Based Neural Architectures for the Korteweg–de Vries Equation

*ALODZHANTS A., LAZOVSKAYA T., MINCHENKOV S., TARKHOV D.
Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

Neural Network Mapping as a Tool for Analyzing and Controlling Approximation in Deep ReLU Networks

*LI S.¹, WANG S.¹, SMOLIN V.²
¹ - Lomonosov Moscow State University, Moscow, Russia
² - Keldysh Institute of Applied Mathematics, Moscow, Russia

Numerical Simulations of the Bio-Inspired Wing at Low Frequencies

*KHALID W.¹, KASTALSKIY I.A.¹˒², KAZANTSEV V.B.¹˒²˒³
¹ - Laboratory of Neurobiomorphic Technologies, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
² - Lobachevsky University (UNN), Nizhny Novgorod, Russia
³ - Russian State Scientific Center for Robotics and Technical Cybernetics (RTC), St. Petersburg, Russia

SESSION 4. Neural Networks and Fundamental Science

Neural Graph Agglomeration for Fast Next-Hop Routing in Large-Scale Weighted Networks

CHURUKSAEV I.V.¹, DEEV A.D.², ALODJANTS A.P.¹
¹ - ITMO University, Saint Petersburg, Russia
² - Moscow Institute of Physics and Technology, Dolgoprudny, Russia
Additional TrackMain Building, Building 1, Phystech.Garage
Contributed Talks

SESSION 3. Neural Networks in Computer Vision and Sensory Systems I

Contactless Object Dimensioning from Image Sets via Open-Vocabulary Segmentation and 3D Reconstruction

*TEYMUROV Z.Z., SOROKA A.A., TROFIMOV A.G.
NRNU MEPhI, Moscow, Russia

Code-Based versus Image-Based Feature Sources for Predicting Web Interface Perceptual Ratings

*DMITRICHENKO D., BAKAEV M.
Novosibirsk State Technical University, Novosibirsk, Russia

Sequential Clustering, Geometric Triangulation and Neural Network Classification for 3D Reconstruction of UAVs from LiDAR Point Clouds

*KERIMOVA J.R.¹, MOKHAMMED M.N.¹, PANASIUK K.D.¹, KANEV A.I.¹
¹ - Bauman Moscow State Technical University, Moscow, Russia

Detection and 6DOF Object Pose Estimation for Obstacles on a Runway using Depth-guided Transformer Decoder

*KNIAZ V.¹˒², LAPSHIN V.¹, ALEKSANDROV V.¹, GRESHNIKOV I.¹, KNYAZ V.¹˒², ANIKIN A.¹
¹ - State Res. Institute of Aviation Systems (GosNIIAS), Moscow, Russia
² - Moscow Institute of Physics and Technology (MIPT), Russia

Experimental Evidence for Neighbor Information in Visual Feature Tensors

*ALLAKHVERDOV E.S.
FusionBrain Lab, Moscow, Russia

Two-Level Risk-Aware Visual SLAM with Vision Transformers

*KIRNOS V.P., MOGULEV M.A., PRIOROV A.L.
Dept. of Digital Technologies and Machine Learning, Physics and Technology Faculty, P.G. Demidov Yaroslavl State University, Yaroslavl, Russia
20 October (Tuesday)16:00 – 16:30
Main Track
Coffee Break
20 October (Tuesday)16:30 – 18:00
Main TrackMain Building, 2nd Floor, Concert Hall Foyer
POSTER SESSION 1.
Neural Networks in Computer Vision and Sensory Systems
Neural Networks in Molecular Biology and Pharmacology
Applied Neural Network Systems

Neural Networks in Computer Vision and Sensory Systems

MCA-SE: Multi-Scale Convolutional Adapter with Squeeze-and-Excitation for Object Detection

*LACHIN S.¹˒², CHILILOVA A.¹˒², GORBACHEV V.¹˒², NIKITIN A.¹˒²
¹ - State Scientific Research Institute of Aviation Systems, Moscow, Russia
² - Moscow Institute of Physics and Technology, Moscow, Russia

MultilayerAnnotator: Generation of Synthetic Datasets and Bounding Box Annotations with Controllable Overlapping Objects

*KNIAZ V.¹˒², MOSHKANTSEV P.¹, PASHTANOV V.¹, KNYAZ V.¹˒²
¹ - State Res. Institute of Aviation Systems (GosNIIAS), Moscow, Russia
² - Moscow Institute of Physics and Technology (MIPT), Russia

3D Gaussian Splatting for Synthesizing Egocentric Images in Humanoid Robot Manipulation Tasks

*GROMOVOI S.S.¹, ARUTYUNYAN A.G.¹, ANDRULIS V.V.¹, GUBA A.V.¹, KOVALEV N.A.¹, KHALID W.¹, LEVICHEV M.YU.¹, KAZANTSEV V.B.¹˒²˒³
¹ - Moscow Institute of Physics and Technology (State University), Dolgoprudny, Russia
² - Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
³ - Russian State Scientific Center for Robotics and Technical Cybernetics, St. Petersburg, Russia

The Effect of Training Data Characteristics on U-Net Performance in Aerial Image Segmentation

*ERMAKOV I.A., KANEV A.I.
Bauman Moscow State Technical University, Moscow

An Interpretable Hybrid Neural-Symbolic System for Monitoring Regulated Actions in Industrial Video Streams

MAKSIMOVA A.Y., CHERNYADIEV I.V., LAMCEV O.A.
Institute of Applied Mathematics and Mechanics, Donetsk, Russian Federation

Neural Networks in Molecular Biology and Pharmacology

Applying Spectral Graph Wavelets to Predict Protein–Protein Interactions

ANTONOV V.D., KOCHKAROV A.A.
Moscow Institute of Physics and Technology (State University), Dolgoprudny,
Federal Research Center of Biotechnology, Russian Academy of Sciences, Moscow

Applied Neural Network Systems

Application of Local Neural Network Approximators in EM Monitoring Problems

*SHIMELEVICH M.I.¹, OBORNEV E.A.¹, OBORNEV I.E.², RODIONOV E.A.¹
¹ - Russian State Geological Prospecting University named after Sergo Ordzhonikidze, Moscow, Russian Federation
² - Skobeltsyn Research Institute of Nuclear Physics, Moscow State University, Moscow, Russian Federation

Trustworthy OCR Based on Confidence Calibration and Selective Acceptance of Results

*FILIPPOV I.I.
Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia

A Data-Driven Predictive Control Framework for Industrial Steam Boilers Based on Neural Dynamic Modelling, LSTM Forecasting, and Lyapunov Stability Analysis

*YADHUKRISHNAN C.J.¹, MALYKHINA G.F.²
¹ - Computer Science and Cyber Security, Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia
² - Computer Science and Cyber Security, Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia

An OLAP Fourier Transformer with a Fuzzy Attention Mechanism for the Electricity Transformer Temperature Forecasting

ENGEL E.A.
Katanov State University of Khakassia, Abakan, Russia

Client-Side In-Browser Chunk Clustering for a Local Multimodal RAG System

*KANEV A.I.
Bauman Moscow State Technical University

TranAD-Ensemble with Top-K Aggregation for Critical Transition Analysis in Complex Systems

*LIANG C., PRIBADI P.O.A.
Institute of Cybersecurity and Computer Science, Peter the Great St. Petersburg Polytechnic University, Russia, St. Petersburg

Do Fusion Strategies Matter for Black-Box Behavioral Embeddings in Bank Lead Generation?

*ANTIPOV T.I., GAPANYUK Y.E.
Bauman Moscow State Technical University, Moscow, Russia

From Smoothing to Pinpointing: A Focal Loss Classification Framework for Routing Congestion Hotspots in VLSI Design

*SAIBODALOV M.¹˒²
¹ - NRC “Kurchatov Institute” – SRISA, Moscow, Russia
² - RUDN University, Moscow, Russia

Autoencoder with Physically Informed Bottleneck for Controlled and Consistent Generation of Spectroscopic Data

*MUSHCHINA A.¹˒², ISAEV I.², DOLENKO S.²
¹ - Physical Department, Lomonosov Moscow State University, Moscow, Russian Federation
² - Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russian Federation

Dual-Stage Computational Modeling for Radioligand Therapy: Extrapolating Macro-Kinetic and Structural Affinities from Prostate to Breast Cancer Receptors

*FANDRESENA M., GAVRILOV A.I.
Moscow Polytechnic University, Russia
20 October (Tuesday)18:00 – 20:00
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 5. Neural Networks and Cognitive Science

Initiation and Completion of Cortical Processing Across Neural Populations During Visual Pattern Recognition

VVEDENSKY V.¹, VERKHLYUTOV V.², GURTOVOY K.¹
¹ - RNC Kurchatov Institute, Moscow, Russia
² - Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia

Insulin and Maintenance of the Excitation/Inhibition Balance in the Brain

PROSKURA A.L., LISACHEV P.D., RATUSHNYAK A.S.
Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia

Population Model of Interval Timing

ZHILYAKOVA L.
V. A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

Transformation of the "Stimulus-Response" System of the Brain in Successive Line of Vertebrate Evolutionary Precursors

SMIRNITSKAYA I.A.
Scientific Research Institute for System Analysis of the National Research Centre “Kurchatov Institute”, Moscow, Russia

A Cognitive-Oriented Active Learning Method to Reduce the Cost of Data Labeling for Image Classification

*GUDKOVA D., TROFIMOV A.
National Research Nuclear University “MEPhI”, Moscow, Russia

Criteria for the Cognitive Interpretation of Adaptive Behavior in Physarum polycephalum

*MUSAEV M.SH., TYUGOVA V.I., GURYANOV D.O., VOLOSOVA A.V.
Bauman Moscow State Technical University

SESSION 7. Deep Learning

FastMem-RMT: External Adaptive Memory State for Continual Learning

*SULIMAN A.¹, BULATOV A.²˒³
¹ - Center for Cognitive Modeling, MIPT, Moscow, Russia
² - Neural Networks and Deep Learning Lab, MIPT, Moscow, Russia
³ - AIRI, Moscow, Russia

Lyapunov-Stable Contractive Residual Networks: Explicit ODE Well-Posedness, Depth-Independent Gradient Bounds and Width-Based Universal Approximation

*MALIK N.¹, KUMAR A.²˒³
¹ - The Northcap University, Gurugram, India
² - Doceree, Noida, India
³ - IIT Bombay, Mumbai, India
Additional TrackMain Building, Building 1, Phystech.Garage
Contributed Talks

SESSION 6. Neural Networks in Natural Language Processing. Large Language Models I

An Adaptive Virtual Tutoring System for Programming Education Based on Self-Regulated Learning and Moral Schemas

*MACHULIN V.V., SULIMENKO I.D., SAMSONOVICH A.V.
National Research Nuclear University MEPhI, Moscow, Russia

Modeling the Dynamics of Social Relations Based on Moral-Ethical Cognitive Agents in a Virtual Environment

*KORNISHEV M.O., SAMSONOVICH A.V.
National Research Nuclear University MEPhI, Moscow, Russia

Key-Value Cache Lossless Compression for Multimodal Large Models

*DEMIDOVSKIJ A.¹˒², BLYUDOVA V.¹˒², ZHARIKOV E.¹˒²
¹ - Huawei Lomonosov Research Institute, Nizhny Novgorod, Russia
² - National Research University Higher School of Economics, Nizhny Novgorod, Russia

On Perspectives of Restricted Boltzmann Machine for Efficient LoRA Fine-Tuning

*SALNIKOV I.¹, DEMIDOVSKIJ A.¹
Higher School of Economics, Nizhniy Novgorod, Russia

Audio-Visual Stuttering Detection in Russian Video Recordings

*IVANKIN E.¹˒², BAZENKOV N.¹˒²
¹ - Moscow Institute of Physics and Technology, Moscow, Russia
² - Trapeznikov Institute of Control Sciences, Moscow, Russia

Greedy Spectral Semantic Aggregation for Vector Database Compression

*RUBINSHTEIN I., NOSKOV A., BELIKOV K., TOROPYGIN A., ZADEBA M., BIKMATOV D., GAPANYUK Y.E.
Bauman Moscow State Technical University, Moscow, Russia

AESOP-RU: Syntactically-Controlled Paraphrase Generation for Behavioral Auditing of Russian-Language Transformer Classifiers

*TUESTA LLAJA JUAN CARLOS.¹, CHUDOVA N.V.¹, DEVYATKIN D.A.²
¹ - Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia
² - Federal Research Center Computer Science and Control of the Russian Academy of Sciences (FRC CSC RAS), Moscow, Russia

Variance Floors in Small-Corpus Document-Level Biomedical Relation Extraction: A Pre-Registered Multi-Seed Evaluation Protocol

*VALIEV A.A., TUTUBALINA E.
HSE University, Moscow, Russia

21 October 2026 (Wednesday)

Neuroinformatics-2026 · Detailed Program · Draft Program
Talks are listed in the order of the source program; individual presentation times are not specified.

Date and Time
Main Track
Additional Track
21 October (Wednesday)09:30 – 10:00
Main TrackMain Building, 1st Floor
Registration
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Coffee Break
21 October (Wednesday)10:00 – 11:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 6:
Andrey Vladimirovich Savchenko, Doctor of Technical Sciences, Managing Director for Data Research at the Center for Applied AI, Sberbank PJSC; Professor, Department of Information Systems and Technologies, and Leading Researcher, Laboratory of Algorithms and Technologies for Network Analysis, HSE University — Nizhny Novgorod
21 October (Wednesday)11:00 – 12:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 7: From Semantic Spaces and Moral Schemas to the Metacognitive Autonomy of Agentic AI,
Alexey Vladimirovich Samsonovich, PhD, Professor, Department of Cybernetics, Scientific Director of the Institute of Cyber Intelligence Systems, National Research Nuclear University MEPhI (to be confirmed)
21 October (Wednesday)12:00 – 13:00
Main TrackMain Building, Academic Council Meeting Hall
School-Seminar Lecture 3: Graphs, Hypergraphs, Higher-Order Networks and All That.
Nikolay Grigoryevich Makarenko, Doctor of Physical and Mathematical Sciences, Chief Researcher, Head of the Unit for Mathematical Modeling of Nonlinear Processes in Heliophysics, Main (Pulkovo) Astronomical Observatory of the Russian Academy of Sciences, St. Petersburg (to be confirmed)
Additional TrackMain Building, Building 1, Phystech.Garage
Partner Master Class / Seminar 1: A Framework for Modeling Spiking Neural Networks.
Mikhail Vitalyevich Kiselev, Candidate of Technical Sciences, Head of the Neuromorphic Computing Laboratory, I. N. Ulyanov Chuvash State University (to be confirmed)
21 October (Wednesday)13:00 – 14:00
Main Track
Break
21 October (Wednesday)14:00 – 15:00
Main TrackMain Building, Academic Council Meeting Hall
School-Seminar Lecture 4:
Vladimir Mikhailovich Kryzhanovsky, Candidate of Physical and Mathematical Sciences (to be confirmed)
Additional TrackMain Building, Building 1, Phystech.Garage
Master Class 2: An Electromyographic Interface for Robot Control.
Viktor Borisovich Kazantsev, Doctor of Physical and Mathematical Sciences, Professor, Head of the Department of Neurotechnologies, Lobachevsky State University of Nizhny Novgorod, Head of the Laboratory of Neurobiomorphic Technologies at MIPT; Sergey Anatolyevich Lobov, Doctor of Physical and Mathematical Sciences, Professor, Department of Neurotechnologies, Lobachevsky State University of Nizhny Novgorod.
21 October (Wednesday)15:00 – 16:15
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 8. Computational Studies of the Principles and Mechanisms of Biological Neural Systems (Computational Neuroscience)

Reduction of a Conductance-Based Neuron Model with Persistent Sodium and Potassium A Channels to a Three-Dimensional Dynamical System

MIGALEV A.S.¹˒², GOTOVTSEV P.M.¹˒²
¹ - Institute for Information Transmission Problems (A.A. Kharkevich Institute), Russian Academy of Sciences, Moscow
² - Federal State Autonomous Educational Institution of Higher Education “Bauman Moscow State Technical University”, Moscow

Deep Learning Based on the Functional Connectivity of Cortical EEG Sources Predicts Fluid Intelligence

*DEMKINA E.I., MIKHEYKIN M.E., GORSHKOVA T.A., ALEKSEEVA V.M., TARASOVA D.M., MITYUREVA D.G., SKRIPKINA S.M., ABROSIMOVA V.D., KISELNIKOV A.A.
Lomonosov Moscow State University, Faculty of Psychology, Department of Psychophysiology

Boundaries of the Desynchronization Effect of Symmetric Rectifying Electrical Synapses Between Neurons

LEBEDEV A.E.¹, MOROZ D.N.², DUNIN-BARKOWSKI W.L.¹˒²
¹ - Scientific Research Institute for System Analysis, RAS, Moscow, Russia
² - Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia

SESSION 9. Brain–Computer Interfaces. Neurotechnologies

State-Specific EEG Parameters Improve Neural Classification of Mental Fatigue and Monotony for BCI

KIROY V.N., ASLANYAN E.V., BAKHTIN O.M., KRIVKO E.M., SHERBINA D.N., SHAPOSHNIKOV D.G.
Research Center of Neurotechnologies, Southern Federal University, Rostov-on-Don, Russia

Cybernetic Neurobiology and an Experimental Testbed for Studying Neural Interfaces

RYBALKO A.V.¹˒², BABICH N.A.¹, FRADKOV A.L.¹˒²
¹ - Institute for Problems in Mechanical Engineering, Russian Academy of Sciences
² - St. Petersburg State University
Additional TrackMain Building, Building 1, Phystech.Garage
Partner Master Class / Seminar 3: GPU Computing Devices for Training Neural Networks and Promising Technologies for AI Development.
Valery Vadimovich Egorshev, CEO of Cognitar LLC.
21 October (Wednesday)16:15 – 16:30
Main TrackMain Building, 2nd Floor, Concert Hall Foyer
Coffee Break
21 October (Wednesday)16:30 – 18:00
Main TrackMain Building, 2nd Floor, Concert Hall Foyer
POSTER SESSION 2
Brain–Computer Interfaces. Neurotechnologies
Deep Learning
Evolutionary Modeling and Multi-Agent Systems
Neural Network Paradigms and Architectures
Neural Networks in Mathematical Modeling and Control
Neurocomputers, Neuromorphic Computing and Spiking Neural Networks
Neural Networks and Fundamental Science

Brain–Computer Interfaces. Neurotechnologies

A Method for Spatial Interpolation of EEG Signals Using a Radial Basis Function Network for Motor Imagery Patterns in Mobile Brain–Computer Interfaces

*SHAPOSHNIKOV P.D., SHCHERBAN I.V.
Research and Technology Center for Neurotechnologies, Southern Federal University

A Multidimensional Neural Fingerprint of Imagined Words from EEG: Integrating Temporal, Spatial, Spectral, and Explainable-AI Evidence

*DEEB M.
Bauman Moscow State Technical University (BMSTU), Moscow, Russia

Deep Learning

Neural Mapping of Hidden-Layer Activity Spaces and Orthogonalization Conditions in Deep Neural Networks

*WANG S.¹, LI S.¹, SMOLIN V.S.²
¹ - Lomonosov Moscow State University, Moscow, Russia
² - Keldysh Institute of Applied Mathematics, Moscow, Russia

Evolutionary Modeling and Multi-Agent Systems

Agents Are the New Gasoline?: Benchmarking Multi-Agent Architectures for AI-Based Generation of Web User Interfaces

VOLOGDIN D., BAKAEV M.
Novosibirsk State Technical University, Novosibirsk, Russia

Neural Network Paradigms and Architectures

Refining Generative Neural Networks for Anomaly Analysis in Energy Consumption Data

MARYASIN O.YU., TIKHOMIROV L.I.
Yaroslavl State Technical University

Self-Similar Deep Neural Networks for Autoregressive Language Modeling

SLEPOVICHEV I.I.
Saratov National Research State University named after N. G. Chernyshevsky, Russia

Neural Networks in Mathematical Modeling and Control

A Comparative Analysis of Parametric and Neural Network Models for Value-at-Risk Estimation in the Russian Market

NOSOV A.S., GABDRAKHMANOVA N.T.
S. M. Nikolsky Mathematical Institute, Patrice Lumumba Peoples’ Friendship University of Russia

Finding Eigenvalues on Physics-Informed Radial Basis Function Networks

*STENKIN D.A., GORBACHENKO V.I.
Penza State University

Phase-Aware Executive Control of a Biomorphic Flapping-Wing Actuator

*ANDRULIS V.V.¹, KHALID W.¹, GROMOVOI S.¹, GUBA A.¹, KOVALEV N.¹, KAZANTSEV V.B.¹˒²˒³
¹ - Laboratory of Neurobiomorphic Technologies, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
² - Lobachevsky University (UNN), Nizhny Novgorod, Russia
³ - Russian State Scientific Center for Robotics and Technical Cybernetics (RTC), St. Petersburg, Russia

Contrastive Loss p-Laplacian Propagation Method for Classifying Regular Regimes in Hamiltonian Systems on the Poincaré Sections

RUCHKIN C.
“CR Soft”, Donetsk, Russia

Neurocomputers, Neuromorphic Computing and Spiking Neural Networks

A Distributed Neuromorphic Decision-Making System Based on Planar Memristor Structures

YUDKIN F.A., FIRSOV A.A., ORANOV A.A.
NRC “Kurchatov Institute” — Scientific Research Institute for System Analysis

Investigation of Coding Protocols in a Spiking Neuron with STRDP Plasticity

KONSTANTINOVA D.A., GARAMOV K.A., LOBOV S.A.
Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region, Russia

Quantum Theory of Diffusive Memristors: Analytical and First-Principles Approaches

KARIMULLINA L.B.¹, KVASHNIN D.G.¹˒², BRILLIANTOV N.V.¹˒²
¹ - Skolkovo Institute of Science and Technology
² - N. M. Emanuel Institute of Biochemical Physics, Russian Academy of Sciences

Resistor-Capacitor Array as an Optimization Tool

KOTOV V.B., SOKHOVA Z.B.
Scientific Research Institute for System Analysis of the National Research Centre “Kurchatov Institute”, Moscow, Russian Federation

The Simplest Hopfield Neural Network with Only Four Synapses

*BOYA B.F.B.A., BABENKO L.K.
Institute of Computer Technology and Information Security, Southern Federal University, Taganrog, Russia

Neural Networks and Fundamental Science

Stiffness of Chemical Kinetics as an Error Source in Neural Network Approximations

*KOLESNIKOVA O.P.¹˒², KHARCHENKO O.V.², MALSAGOV M.YU.¹, KARANDASHEV I.M.¹˒³
¹ - National Research Center Kurchatov Institute - NIISI, Moscow, Russia
² - Moscow Institute of Physics and Technology (National Research University), Moscow, Russia
³ - Peoples' Friendship University of Russia (RUDN University), Moscow, Russia
21 October (Wednesday)18:00 – 19:00
Main TrackMain Building, Academic Council Meeting Hall
Round Table 2: Generative Models for Robotic Simulators and Digital Twins in Manufacturing
(Speakers to be confirmed; moderator: D. A. Yudin, Candidate of Technical Sciences, Head of the Intelligent Transport Laboratory, MIPT–NKB VS (Center for Cognitive Modeling), Associate Professor, Department of Fundamental AI Methods, MIPT; Leading Researcher at AIRI)
21 October (Wednesday)19:00 – 19:45
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 10. Neural Networks in Natural Language Processing. Large Language Models II

Verified Synthetic Augmentation with Cross-Model Verification for Rare-Class Document-Level Biomedical Relation Extraction

*VALIEV A.A., TUTUBALINA E.V.
HSE University, Moscow, Russia

Two-Stage Medical Entity Normalization in Drug Reviews Using Large Language Models and MedDRA Grounding

*SBOEV A.G.¹, MIKHAILOVA A.A.¹, MOLOSHNIKOV I.A.¹, RYBKA R.B.¹, SBOEVA S.G.¹, ZAKIROVA S.D.¹
¹ - NRC “Kurchatov Institute”, Moscow, Russia

ProMiNER: Profile-Based Medical Named Entity Reranker for Russian Medical Concept Normalization

*BORISOVSKII L., LOUKACHEVITCH N.
Lomonosov Moscow State University, Moscow, Russia

22 October 2026 (Thursday)

Neuroinformatics-2026 · Detailed Program · Draft Program
Talks are listed in the order of the source program; individual presentation times are not specified.

Date and Time
Main Track
Additional Track
22 October (Thursday)09:30 – 10:00
Main TrackMain Building, 1st Floor
Registration
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Coffee Break
22 October (Thursday)10:00 – 11:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 8:
Alexander Igorevich Panov, Doctor of Physical and Mathematical Sciences, Professor of the Russian Academy of Sciences, Director of the Cognitive AI Systems Laboratory at AIRI, Director of the Center for Cognitive Modeling at MIPT
22 October (Thursday)11:00 – 12:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 9:
Konstantin Sergeyevich Yakovlev, Doctor of Physical and Mathematical Sciences; Leading Researcher at AIRI, Associate Professor at St. Petersburg State University, Senior Researcher at the Center for Cognitive Modeling, MIPT
22 October (Thursday)12:00 – 13:00
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 11. Reinforcement Learning in Neuroscience and Artificial Intelligence Systems I

Improving the Efficiency of PPO in the PushWorld Task through Environment Modification

*LYUBIN M.V.¹, YAKOVLEV K.S.²
¹ - HSE University, Moscow
² - Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, Moscow

GATE: Gamma-Adaptive Trust Estimation for Reinforcement Learning Algorithms

*SINITSKIY M., KUDEROV P.
Moscow Institute of Physics and Technology (MIPT), Dolgoprudny

Applying the TD3 Reinforcement Learning Algorithm to Trajectory Planning for an Underactuated Spherical Robot

ZVONAREV I.S., KARAVAEV YU.L.
Kalashnikov Izhevsk State Technical University

VICONav: Vectorized Isaac Configurable Object Navigation Benchmark

*OSKOLKOV N.¹, MAKAROV D.²
¹ - Moscow Institute of Physics and Technology (MIPT), Dolgoprudny
² - Federal Research Center for Computer Science and Control of Russian Academy of Sciences, Moscow
Additional TrackMain Building, Building 1, Phystech.Garage
Contributed Talks

SESSION 12. Neurocomputers, Neuromorphic Computing and Spiking Neural Networks I

Hardware Implementation of Spiking Neuromorphic Architectures for Improving the Energy Efficiency of Edge AI Devices

*KHAMITOV K.A., RYNDIN E.A., ANDREEVA N.V.
St. Petersburg Electrotechnical University “LETI”, St. Petersburg

Evaluating the Energy Efficiency of Spiking and Conventional Artificial Neural Networks in Digital and Analog Hardware Implementations

*DUDKIN A.P., RYNDIN E.A., ANDREEVA N.V.
St. Petersburg Electrotechnical University “LETI” named after V. I. Ulyanov (Lenin), St. Petersburg

Conversion from ANN to SNN Using Bipolar Spiking Neuron to Reduce Premature Spiking Problem

*RYBKA R.B.¹, DYAKOVA E.O.¹˒², SERENKO A.V.¹, SBOEV A.G.¹˒²
¹ - NRC “Kurchatov Institute”, Moscow, Russia
² - National Research Nuclear University MEPhI, Moscow, Russia

A Spiking Neural Framework for Closed-Loop Neuromechanical Locomotion Control

*KOVALEV N.¹˒², GUBA A.¹˒²˒³, GROMOVOI S.¹, ANDRULIS V.¹˒², ZHARINOV A.¹˒², KAZANTSEV V.B.¹˒²˒⁴
¹ - Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
² - Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
³ - National Research Centre Kurchatov Institute, Moscow, Russia
⁴ - Skolkovo Institute of Science and Technology, Moscow, Russia
22 October (Thursday)13:00 – 14:00
Main Track
Break
22 October (Thursday)14:00 – 15:00
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 13. Neurocomputers, Neuromorphic Computing and Spiking Neural Networks II

Correlation-Based Local Synaptic Plasticity for Real-Time Continual Learning in Spiking Neural Networks

*BROVKO I.S.¹˒², RYBKA R.B.¹˒², SERENKO A.V.¹, SBOEV A.G.¹˒³, DEMIN V.A.¹
¹ - NRC “Kurchatov Institute”, Moscow, Russia
² - National Research University MIPT, Dolgoprudny, Russia
³ - National Research Nuclear University MEPhI, Moscow, Russia

Computing in Memristor-Based Physical Reservoirs: A Brief Review

TARKOV M.S.
Rzhanov Institute of Semiconductor Physics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
Novosibirsk State University, Novosibirsk

Toward a Purely Spiking Implementation of Model-Based Reinforcement Learning

KISELEV M.
Chuvash State University, Cheboksary, Russia

Self-Verifying Neuromorphic Systems: A Categorical Framework for Online Reliability Assurance

DOROFEEV V.¹
SRISA, Moscow, Russia
Additional TrackMain Building, Building 1, Phystech.Garage
Contributed Talks

SESSION 14. Reinforcement Learning in Neuroscience and Artificial Intelligence Systems II

Controlling a Human Musculoskeletal Model Using Reinforcement Learning Methods

*SVIRIDOV N.N.¹, BAZENKOV N.I.²˒³
¹ - Lomonosov Moscow State University, Moscow
² - V. A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow
³ - National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)

Self-Supervised Gaussian Intra-Group Consensus: Merged Latent Communication for Multi-Agent Reinforcement Learning

*ZHANG C.¹, TEREKHOV V.¹, ZHU H.²
¹ - Department of Information Processing and Control Systems, Bauman Moscow State Technical University, Moscow
² - Department of Automatic Control Systems, Bauman Moscow State Technical University, Moscow

Disentangling Task from Style for Zero-Shot Visual Generalization in Reinforcement Learning

*ZELEZETSKY D.¹, CHEREPANOV E.¹˒², PANOV A.I.¹˒², KOVALEV A.K.¹˒²
¹ - MIRAI, Moscow
² - AXXX, Moscow
Main Building, Academic Council Meeting Hall

SESSION 15. Neural Networks in Molecular Biology and Pharmacology

Knowledge Graph-Enhanced Ensembling: Boosting Open LLMs for Medical Error Correction

*VALIEV A.¹, TUTUBALINA E.¹˒²
¹ - HSE University, Moscow, Russia
² - Kazan Federal University, Kazan, Russia
22 October (Thursday)15:00 – 16:00
Main TrackMain Building, 2nd Floor, Concert Hall Foyer
POSTER SESSION 3
Reinforcement Learning in Neuroscience and Artificial Intelligence Systems
Neural Networks and Cognitive Science
Neural Networks in Natural Language Processing. Large Language Models

Reinforcement Learning in Neuroscience and Artificial Intelligence Systems

A Modular Analysis of Communication, Temporal Encoding, and Structure-Invariant Representation in RL-Based Traffic Signal Control

DUDKO I.¹˒², KUDEROV P.²
¹ - National University of Science and Technology MISIS, Moscow, Russia
² - Moscow Institute of Physics and Technology, Moscow, Russia

A Hybrid Biomorphic Benchmark Combining Spiking Neural Dynamics with Nonlinear Muscle Actuation

*GUBA A.¹˒²˒³, KOVALEV N.¹˒², ZHARINOV A.¹˒², GROMOVOI S.¹, ANRULIS V.¹˒², LEVICHEV M.¹, DEMIN V.³, KAZANTSEV V.B.¹˒²˒⁴
¹ - Moscow Institute of Physics and Technology, Dolgoprudny, Russia
² - Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
³ - National Research Centre Kurchatov Institute, Moscow, Russia
⁴ - Skolkovo Institute of Science and Technology, Moscow, Russia

Knowledge and Integration Deficits: Diagnosing the Transfer Bottleneck in an Agent with a World Model

*LYATIFOV R.E.
Bauman Moscow State Technical University, Moscow, Russia

Neural Networks and Cognitive Science

A Graph of Visited Regions for Selecting Intermediate Goals during Navigation in Environments with Obstacles

*GERGEDAVA D.A.¹, KARANDASHEV YA.M.¹˒², MYSIN I.E.³
¹ - RUDN University, Moscow
² - NRC “Kurchatov Institute” — Scientific Research Institute for System Analysis
³ - Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region

Impact of Environmental Predictability on Structural and Functional Characteristics of Neural Network Model Objects

MARKOVA G.M.¹˒², BARTSEV S.I.¹˒²
¹ - Institute of Biophysics SB RAS, Krasnoyarsk, Russia
² - Siberian Federal University, Krasnoyarsk, Russia

Neural Networks in Natural Language Processing. Large Language Models

Adapting LLMs to French Healthcare: The Dominance of Multi-Task Fine-Tuning in Medical QA

ABODO ELOUNDOU B.D.¹, MALYKH V.²˒¹
¹ - ITMO University, Saint Petersburg, Russia
² - MTS Web Services, Saint Petersburg, Russia

Multimodal Sentiment Analysis of Communication in IT Product Teams: The Role of Speaker Diarization and Irony Detection

FAZULYANOV D.V., GUSEVA A.I.
National Research Nuclear University MEPhI, Moscow, Russian Federation

Depression Recognition from Speech with Speaker Identity Feature Suppression

KIRILENKOV K.V.¹, BONDARENKO I.YU.²
¹ - Moscow Institute of Physics and Technology (National Research University), Moscow, Russia
² - Novosibirsk State University (National Research University), Novosibirsk, Russia

Using Verifiers to Improve the Quality of Answers to Open-Ended Questions with a Knowledge Base

*MARTIROSYAN Z.K.¹, MATSAKOV B.V.², KONOVALOV M.A.², KARASAEV D.S.², MALYKH V.A.³
¹ - National University of Science and Technology MISIS, Moscow, Russia
² - ITMO University, St. Petersburg, Russia
³ - International Information Technology University, Almaty, Kazakhstan

Zero-Shot Russian Keyword Recognition through Pretrained Cross-Modal Alignment

LIN YU.
Bauman Moscow State Technical University, Moscow, Russia

Cognitively-Oriented Management of Large Language Models for Cross-Genre Text Adaptation

*SUNGUROVA A.¹, ISAEVA E.²
¹ - NUST MISIS, Moscow, Russia
² - Perm State University, Perm, Russia

GNFF: A Graph-Based Negative Feedback Fine-Tuning Technique to Prevent Deceptive Alignment in Large Language Models

DEROY A.
Independent Researcher
Additional TrackMain Building, Academic Council Meeting Hall
School-Seminar Lecture 5: TEVSER: How the Evolution of Complex Systems Gives Rise to Subjectivity, Consciousness and Intelligence.
Igor Olegovich Pivovarov, Head of the Analytical Center at the MIPT Institute of Artificial Intelligence, Chair of the Organizing Committee of the OpenTalks.AI Conference
22 October (Thursday)16:00 – 16:30
Main TrackMain Building, 2nd Floor, Concert Hall Foyer
Coffee Break
22 October (Thursday)16:30 – 18:00
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 16. Neural Network Paradigms and Architectures

HYBRID ANN-SNN PIPELINE WITH LOCAL PLASTICITY

LARIONOV D.¹˒², SHTANCHAEV K.³˒⁴, KISELEV M.¹˒², KOROVIN M.⁴, TUGOY I.⁴˒²
¹ - Chuvash State University, Cheboksary, Russia
² - LLC NForm, Moscow, Russia
³ - Dagestan State Technical University, Makhachkala, Russia
⁴ - LLC 1T, Moscow, Russia

Fast-Learning Orthogonal Neural Networks

DOROGOV A.YU.
PJSC “Information Telecommunication Technologies” (“Inteltech”), St. Petersburg, Russia
St. Petersburg Electrotechnical University “LETI”, Russia

Enhancing Wood Defect Detection through Synthetic Data Generation and FID-Based Filtering

*SYROVATKIN S.
Moscow Institute of Physics and Technology, Dolgoprudny, Russia

A Self-Attention Mechanism for Learning Search Heuristics on Cayley Graphs

*DROZDOV D.P., YAKOVLEV K.S.
St. Petersburg State University

The Effect of Training Data on the Quality of a Neural Network Heuristic in the PushWorld Environment

*ANANIKYAN A.G., YAKOVLEV K.S.
St. Petersburg State University, St. Petersburg, Russia

LOKAN: Learnable Summation and Multiplication in Kolmogorov–Arnold Networks

*SHEPELEV D., DEMYANENKO Y.
Institute of Mathematics, Mechanics and Computer Science, Southern Federal University, Rostov-on-Don, Russia
Additional TrackMain Building, Building 1, Phystech.Garage
Contributed Talks

SESSION 17. Evolutionary Modeling and Multi-Agent Systems

Modeling Information Exchange in a Team of Agents

RED’KO V.G.
Scientific Research Institute for System Analysis of the National Research Centre “Kurchatov Institute”, Moscow, Russian Federation

Evolutionary Probabilistic Algorithms vs Evolutionary Quantum Algorithms

SKOBTSOV Y., SKOBTSOV V.
Saint Petersburg State University of Aerospace Instrumentation, St. Petersburg

Evolutionary Optimization of Locomotive Assignment in Railway Transport Using a Graph-Based Genetic Algorithm

*ISAEV S.
Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

The Applicability Limit of Genetic Algorithms for Vibrational Spectrum Decomposition under Degeneracy of Closely Spaced Bands

*NOVIKOV G.¹, KUPRIYANOV G.¹˒², ISAEV I.², DOLENKO S.²
¹ - Faculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia
² - D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, Moscow, Russia

Emergent Behavior of Self-Organizing Parametric Agents: Reproducing Algorithmic Cooperative Agent Strategies in the “Stones” Multi-Agent Environment

*ISAEV I.¹, CHERNOV K.², GUSKOV A.¹˒², KUPRIYANOV G.¹˒², MAKAROV A.², MUSHCHINA A.¹˒², SAMSONOVICH A.³, DOLENKO S.¹
¹ - D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, Moscow, Russia
² - Physics Department, M.V. Lomonosov Moscow State University, Moscow, Russia
³ - National Research Nuclear University MEPhI, Moscow, Russia

From Individual Consciousness to Collective Consciousness: The World of Agents

KOTOV V.B., SOKHOVA Z.B.
Scientific Research Institute for System Analysis of the National Research Centre “Kurchatov Institute”, Moscow, Russian Federation
22 October (Thursday)18:00 – 19:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 10: The advanced complex adaptive systems, evolution with multilevel selection and reservoir computing.
David Bagratovich Saakian, Doctor of Physical and Mathematical Sciences; Leading Researcher, A. I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan, Armenia
22 October (Thursday)19:00 – 20:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 11: 4D Scene Graphs.
Dmitry Alexandrovich Yudin, Candidate of Technical Sciences, Head of the Intelligent Transport Laboratory, MIPT–NKB VS (Center for Cognitive Modeling), Associate Professor, Department of Fundamental AI Methods, MIPT; Leading Researcher at AIRI

23 October 2026 (Friday)

Neuroinformatics-2026 · Detailed Program · Draft Program
Talks are listed in the order of the source program; individual presentation times are not specified.

Date and Time
Main Track
Additional Track
23 October (Friday)09:30 – 10:00
Main TrackMain Building, 1st Floor
Registration
Additional TrackMain Building, 2nd Floor, Concert Hall Foyer
Coffee Break
23 October (Friday)10:00 – 11:00
Main TrackMain Building, Academic Council Meeting Hall
Plenary Session 12: The Evolution of Cognition: Current Questions in the Study of Consciousness Processes in Artificial and Biological Neural Networks.
Vadim Leonidovich Ushakov, Candidate of Biological Sciences, Leading Researcher, Institute for Advanced Brain Studies, Lomonosov Moscow State University
23 October (Friday)11:00 – 12:15
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 18. Neural Networks in Computer Vision and Sensory Systems III

Structural Optimization of Neural Detectors for Small-Scale Microorganism Detection via Divergence-Aware Pruning

SAMARIN A.¹, MAMAEVA A.¹, KOTENKO E.², TOROPOV A.¹, NAZARENKO A.¹, SAVELEV A.³, NAZARENKO D.¹, AFONINA J.¹, MIKHAILOVA E.¹˒², MALYKH V.⁴
¹ - ITMO University, St. Petersburg, Russia
² - St. Petersburg State University, St. Petersburg, Russia
³ - St. Petersburg Electrotechnical University “LETI”, St. Petersburg, Russia
⁴ - International IT University, Almaty, 050000 Kazakhstan

ReGraF: Relation-Aware Scene Graph Forecasting Under Partial Observability

TRUNOVA A.¹, YUDIN D.¹˒²
¹ - Moscow Institute of Physics and Technology, Center for Cognitive Modeling, Dolgoprudny, Russian Federation
² - AIRI, Moscow, Russian Federation

Vision-Language Trajectory Planning with Perception Grounding

IVANOV L.¹, YUDIN D.²
¹ - MIRIAI, Moscow, Russia
² - Cognitive AI Systems Lab, Moscow, Russia

Divergence-Aware Compression of Attention-Enhanced Networks for Bacilli Segmentation in Microscopy Images

SAMARIN A.¹, MAMAEVA A.¹, KOTENKO E.², TOROPOV A.¹, NAZARENKO A.¹, SAVELEV A.³, NAZARENKO D.¹, AFONINA J.¹, MIKHAILOVA E.¹˒², MALYKH V.⁴
¹ - ITMO University, St. Petersburg, 197101 Russia
² - St. Petersburg State University, St. Petersburg, 199034 Russia
³ - St. Petersburg Electrotechnical University “LETI”, St. Petersburg, 197022 Russia
⁴ - International IT University, Almaty, 050000 Kazakhstan

Training Binary-Output Feedforward Networks Without Batch Normalization for Neuromorphic Inference

KOTOV V.¹, PUSHKAREVA M.², RYBKA R.³, KARANDASHEV I.¹˒⁴
¹ - National Research Center Kurchatov Institute - NIISI, Moscow, Russia
² - Polus Trading Company LLC, Tomsk, Russia
³ - National Research Center Kurchatov Institute, Moscow, Russia
⁴ - Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia
23 October (Friday)12:15 – 13:00
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

SESSION 19. Neuroinformatics and Artificial Intelligence

Autonomous AI Systems for Corporate Governance: A Framework Bridging Computational Law, Operational Context, and Multi-Level Oversight

ROMANOVA A.S.
GSOM SPbU, St. Petersburg, Russia

Using Synergetics Ideas to Understand Cognitive Development Processes in Artificial Intelligence

MALINETSKY G., PODOPROSVETOV A., SMOLIN V.
Keldysh Institute of Applied Mathematics, Moscow, Russia

Adaptive RAG for Multi-Hop Question

BEREZIN D.¹, SOMOV O.²˒¹
¹ - Moscow Institute of Physics and Technology, Moscow, Russia
² - AIRI, Moscow, Russia
23 October (Friday)13:00 – 14:00
Main Track
Break
23 October (Friday)14:00 – 14:45
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

14:00 – 14:45SESSION 20. Neural Networks in Natural Language Processing. Large Language Models III

Dialogue Summarization

MALYKH V.A.
ITMO University, St. Petersburg

Towards 2:4 Sparsication of Attention Mechanism in Large Models

DEMIDOVSKIY A.¹˒², TUGARYOV A.¹˒²
¹ - Huawei Lomonosov Research Institute, Nizhny Novgorod, Russia
² - National Research University Higher School of Economics, Nizhny Novgorod, Russia

When Does a Language Model Need SELF-REFINE? Adaptive Routing Based on Self-Report Signals in ToolUse Tasks

TROFIMOVA M.¹, KRATKOV E.
Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia
23 October (Friday)14:45 – 16:00
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

14:45 – 16:00SESSION 21. Applied Neural Network Systems II

Improving the Classification of Intermediate Gleason Patterns (3–4) Using a Partially Fine-Tuned DeiT Transformer

SHELOMENTSEVA I.G.¹, CHENTSOV S.V.²
¹ - Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky, Krasnoyrsk, Russia
² - Siberian Federal University, Krasnoyrsk, Russia

Human-Aligned Numerical Quantification: Validated Baselines, Financial Time Series, and Bootstrap Evidence

SAXENA A.¹, KOLONIN A.¹˒²˒³
¹ - Novosibirsk State University, Russia
² - Artificial Intelligence Research Center, Novosibirsk State University, Russia
³ - SingularityNET Foundation, Switzerland

Liquid Reputation and Rationality-Based Synthetic Additive Cause Indicator for Crypto-Assets

SAXENA A.¹, KOLONIN A.¹˒²˒³
¹ - Novosibirsk State University, Russia
² - Artificial Intelligence Research Center, Novosibirsk State University, Russia
³ - SingularityNET Foundation, Switzerland

A Neural Network-Based Recommendation System for Attracting New Customers: Data Preparation for the subsequent clustering of the target audience

SOKOLOV A.¹, SHUTKIN A.², ISAEVA E.³, BEKLARYAN A.⁴
¹ - Autonomous non-profit organisation of higher education ‘Innopolis University’, Innopolis, Russia
² - Autonomous non-profit organisation of higher education ‘Innopolis University’, Innopolis, Russia
³ - Perm State University, Perm, Russia
⁴ - National Research University Higher School of Economics, Moscow, Russia

PixelNav: Towards Model-Based Vision-Only Navigation with Topological Graphs

BAKULIN S.¹˒², AKHTYAMOV T.¹, FATYKHOV D.¹, DEVCHICH G.¹, FERRER G.¹
¹ - Skolkovo Institute of Science and Technology, Moscow, Russia
² - Sber Robotics Center, Moscow, Russia
23 October (Friday)16:00 – 16:30
Main TrackMain Building, 2nd Floor, Concert Hall Foyer
Coffee Break
23 October (Friday)16:30 – 17:30
Main TrackMain Building, Academic Council Meeting Hall
Contributed Talks

16:30 – 17:00SESSION 22. Neural Network Theory

Stochastic Estimation of the Layer-Wise Hessian Trace for Monitoring Neural-Network Training

BOLSHIM M.A., KUGAEVSKIKH A.V.
ITMO University, St. Petersburg, Russia

The Inverse Temperature as a Control Parameter of Associative Memory: Phase Geometry, Dynamical Robustness and Novelty-Modulated Metaplasticity

MASLENNIKOV O.
Federal Research Center A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia

17:00 – 17:30SESSION 23. Modern Methods and Technologies in Neuroscience

Assessing Learning Processes in Mice Performing a Drinking Task in Virtual Reality Using a Set of Behavioral Metrics

GALTYAEV A.V.¹, SVARNIK O.E.²
¹ - Moscow Institute of Physics and Technology (State University)
² - National Research Center “Kurchatov Institute”, Moscow

Distinguishing Delta and Theta Rhythms in Local Field Potential Signals from Animal Brains

GRACHEV D.R.², VINOGRADOVA L.V.³, SULEYMANOVA E.M.³, SYSOEV I.V.²˒¹
¹ - Saratov National Research State University named after N. G. Chernyshevsky
² - Peter the Great St. Petersburg Polytechnic University
³ - Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences
Additional TrackMain Building, Building 1, Phystech.Garage
Partner Master Class / Seminar 5: Applications of Neural Networks in Railway Transport.
Andrey Valeryevich Sukhanov, Candidate of Technical Sciences, Chief Expert, Department of Scientific Research, Analytics and Improvement of Scientific and Technical Activities, JSC NIIAS.
23 October (Friday)17:30 – 18:00
Main TrackMain Building, Academic Council Meeting Hall
Awards Ceremony for Competition Winners and Honorary Award Recipients, and Conference Closing
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